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Virtual Reality-Based Memory Assistant for the Elderly

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2018)

Abstract

Older adults experience several diseases related to the habits of their daily lives, many times resulting in cognitive problems when they reach ages that overcome eighty years. This work presents the development of an application aimed at older adults, integrating scenarios in virtual reality to facilitate the immersion of people with signs of memory loss. Through the application, various tasks related to daily activities, professions, face recognition and weekend games are proposed, all evaluated to show scores at the end of the activities. As a result, the work presents real experiments executed to validate the proposal, showing first and third person views within several built virtual environments.

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Acknowledgements

The authors would like to thanks to the Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia – CEDIA for the financing given to research, development, and innovation, through the CEPRA projects, especially the project CEPRA-XI-2017-06; Control Coordinado Multi-operador aplicado a un robot Manipulador Aéreo; also to Universidad de las Fuerzas Armadas ESPE, Universidad Técnica de Ambato, Escuela Superior Politécnica de Chimborazo, Universidad Nacional de Chimborazo, and Grupo de Investigación en Automatización, Robótica y Sistemas Inteligentes, GI-ARSI, for the support to develop this paper.

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Correspondence to Fernando A. Chicaiza , Luis Lema-Cerda , V. Marcelo Álvarez , Víctor H. Andaluz , José Varela-Aldás , Guillermo Palacios-Navarro or Iván García-Magariño .

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Chicaiza, F.A. et al. (2018). Virtual Reality-Based Memory Assistant for the Elderly. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2018. Lecture Notes in Computer Science(), vol 10850. Springer, Cham. https://doi.org/10.1007/978-3-319-95270-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-95270-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95269-7

  • Online ISBN: 978-3-319-95270-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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